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Record W3158161859 · doi:10.1177/19389655211008413

Temporal Orientation and Customer Loyalty Programs

2021· article· en· W3158161859 on OpenAlex
Flavia Hendler, Kathryn A. LaTour, June Cotte

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCornell Hospitality Quarterly · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsWestern University
Fundersnot available
KeywordsLoyaltyLoyalty programLoyalty business modelMarketingBusinessHospitalityDimension (graph theory)AdvertisingPublic relationsTourismService (business)Political science

Abstract

fetched live from OpenAlex

Loyalty programs play a prominent role in many firms’ customer relationship management programs, but not all programs are successful. Providers need to understand not only what benefits customers want in a program, but also how they want to be treated as a loyalty member. We posit that because loyalty programs offer rewards that are time-bound (immediate or delayed), and that loyalty programs seek to develop a relationship that extends over time, an important, but overlooked dimension for hospitality managers to consider is how their customers view time. Our research focuses on customers’ temporal orientation—the tendency to think in the present, future, or past. We use depth interviews to explore existing casino loyalty program participants’ thoughts and feelings about their ideal loyalty program. We find the customers’ temporal orientation influences the type of relationship as well as the type of benefits sought in the loyalty program. Our research offers managerially practical insights for identifying customers more likely to engage in co-production of a long-term loyalty relationship as well as for creating communication strategies that are likely to interest and provoke different temporal mindsets.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.347
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it